Publications by authors named "Mengsha Qi"

Background: The World Health Organization (WHO) proposed COVID-19 vaccination as an emergent and important method to end the COVID-19 pandemic. Since China started vaccination programs in December 2020, vaccination has spread to provinces and municipalities nationwide. Previous research has focused on people's vaccination willingness and its influencing factors but has not examined vaccination behavior.

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Background: The coronavirus disease (COVID-19) pandemic has been a continuous global threat since the first identification of the disease in December 2019. COVID-19 vaccination is a crucial preventive approach that can halt this pandemic. However, many factors affect the willingness of the public to be vaccinated against COVID-19 at the early stage of the vaccination programme.

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Objective: To systematically observe the curative efficacy and safety of budesonide inhalation in the treatment of acute exacerbation of chronic obstructive pulmonary disease, and to find a suitable dose of aerosolized budesonide for Chinese patients.

Methods: The meta-analysis study was conducted at Wenjiang District People's Hospital, Chengdu City, Sichuan Province, China from May 2019 to August 2019 and comprised randomised controlled trials of glucocorticoids for acute exacerbation of chronic obstructive pulmonary disease on the databases of the China National Knowledge Infrastructure, Wanfang Medical Network, PubMed, Medline, Embase, Cochrane Library and Google Scholar. Data extraction and quality evaluation of the studies was done and meta-analysis was then performed using RevMan 5.

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Objective: The objective of this study was to define the threatened perception types of pregnant women during the COVID-19 pandemic and determine the correlations between the perception types and their demographic factors, their preventive knowledge of COVID-19 and their mental status in order to provide suggestions for pregnant women during pandemic.

Methods: Latent class analysis were used to explore the optimal numbers of clusters. Multinomial logistic regression and multiple correspondence analysis were used to analyze the demographic variables of the latent categories.

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